{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  DDPG Crypto-Currency Trading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/matplotlib/cbook.py:136: MatplotlibDeprecationWarning: The finance module has been deprecated in mpl 2.0 and will be removed in mpl 2.2. Please use the module mpl_finance instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n",
      "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.finance as mpf\n",
    "from matplotlib.pylab import date2num\n",
    "from HuobiServices import *\n",
    "from DataUtils import *\n",
    "import talib\n",
    "import tensorflow as tf\n",
    "from tqdm import tqdm\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "lmap=lambda func,it: list(map(lambda x:func(x),it))\n",
    "lfilter=lambda func,it: list(filter(lambda x:func(x),it))\n",
    "z_score=lambda x:(x-np.mean(x,axis=0))/(np.std(x,axis=0)+1e-5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# assets=['kan','eos','wicc']\n",
    "assets=assets=['bat','let','mds']\n",
    "asset_data=lfilter(lambda x:x[1] is not None,lmap(lambda x:(x,kline(x,interval='30min',count=2000)),assets))\n",
    "asset_data=lmap(lambda x:(x[0],generate_tech_data_default(x[1],close_name='close',high_name='high',low_name='low',open_name='open')),asset_data)\n",
    "asset_data=dict(asset_data)\n",
    "asset_data=pd.Panel(asset_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DDRPG(object):\n",
    "    def __init__(self, s_dim,\n",
    "                 asset_number,\n",
    "                 buffer_size=64,\n",
    "                 tau=0.05,\n",
    "                 softmax_tau=1,\n",
    "                 gamma=0.99,\n",
    "                 actor_rnn_units=128,\n",
    "                 critic_s_rnn_units=128,\n",
    "                 critic_a_rnn_units=64,\n",
    "                 actor_dnn_units=[32],\n",
    "                 critic_s_dnn_units=[32,16],\n",
    "                 critic_a_dnn_units=[32,16],\n",
    "                 learning_rate_a=1e-3,\n",
    "                 learning_rate_c=2e-3):\n",
    "        tf.reset_default_graph()\n",
    "        \n",
    "        self.buffer_size = buffer_size\n",
    "        self.pointer = 0\n",
    "        self.asset_number = asset_number\n",
    "        \n",
    "        self.a_dim, self.s_dim = 1, s_dim\n",
    "        self.tau = tau\n",
    "        self.softmax_tau = softmax_tau\n",
    "        self.gamma = gamma\n",
    "        self.lr_a = learning_rate_a\n",
    "        self.lr_c = learning_rate_c\n",
    "        self.actor_rnn_units = actor_rnn_units\n",
    "        self.critic_s_rnn_units = critic_s_rnn_units\n",
    "        self.critic_a_rnn_units = critic_a_rnn_units\n",
    "        \n",
    "        self.actor_dnn_units = actor_dnn_units\n",
    "        self.critic_a_dnn_units = critic_a_dnn_units\n",
    "        self.critic_s_dnn_units = critic_s_dnn_units\n",
    "        \n",
    "        self.s_buffer = np.zeros((self.asset_number, self.buffer_size, self.s_dim))\n",
    "        self.s_next_buffer = np.zeros((self.asset_number, self.buffer_size, self.s_dim))\n",
    "        self.r_buffer = np.zeros((self.asset_number, self.buffer_size, 1))\n",
    "        self.a_buffer = np.zeros((self.asset_number, self.buffer_size, self.a_dim))\n",
    "        \n",
    "        self.s = tf.placeholder(tf.float32, [None, None, self.s_dim], 's')\n",
    "        self.s_next = tf.placeholder(tf.float32, [None, None, self.s_dim], 's_next')\n",
    "        self.r = tf.placeholder(tf.float32, [None, None, 1], 'r')\n",
    "        self.keep_prob = tf.placeholder(tf.float32, [], 'dropout')\n",
    "        \n",
    "#         with tf.variable_scope('actor', initializer=tf.contrib.layers.xavier_initializer(uniform=True), regularizer=tf.contrib.layers.l2_regularizer(0.01)):\n",
    "        with tf.variable_scope('actor', initializer=tf.truncated_normal_initializer(dtype=tf.float32,mean=0,stddev=1)):\n",
    "            self.a = self._build_a(s=self.s,\n",
    "                                   rnn_units=self.actor_rnn_units,\n",
    "                                   dnn_units=self.actor_dnn_units,\n",
    "                                   scope='predict',\n",
    "                                   keep_prob=self.keep_prob,\n",
    "                                   trainable=True)\n",
    "            a_next = self._build_a(s=self.s_next,\n",
    "                                   rnn_units=self.actor_rnn_units,\n",
    "                                   dnn_units=self.actor_dnn_units,\n",
    "                                   scope='target',\n",
    "                                   keep_prob=self.keep_prob,\n",
    "                                   trainable=False)\n",
    "#         with tf.variable_scope('critic', initializer=tf.contrib.layers.xavier_initializer(uniform=True), regularizer=tf.contrib.layers.l2_regularizer(0.01)):\n",
    "        with tf.variable_scope('critic', initializer=tf.truncated_normal_initializer(dtype=tf.float32,mean=0,stddev=1)):\n",
    "            q = self._build_c(s=self.s,\n",
    "                              a=self.a,\n",
    "                              s_rnn_units=self.critic_s_rnn_units,\n",
    "                              a_rnn_units=self.critic_a_rnn_units,\n",
    "                              s_dnn_units=self.critic_s_dnn_units,\n",
    "                              a_dnn_units=self.critic_a_dnn_units,\n",
    "                              scope='predict',\n",
    "                              keep_prob=self.keep_prob,\n",
    "                              trainable=True)\n",
    "            q_next = self._build_c(s=self.s_next,\n",
    "                                   a=a_next,\n",
    "                                   s_rnn_units=self.critic_s_rnn_units,\n",
    "                                   a_rnn_units=self.critic_a_rnn_units,\n",
    "                                   s_dnn_units=self.critic_s_dnn_units,\n",
    "                                   a_dnn_units=self.critic_a_dnn_units,\n",
    "                                   scope='target',\n",
    "                                   keep_prob=self.keep_prob,\n",
    "                                   trainable=False)\n",
    "        \n",
    "        self.ap_params = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='actor/predict')\n",
    "        self.at_params = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='actor/target')\n",
    "        self.cp_params = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='critic/predict')\n",
    "        self.ct_params = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='critic/target')\n",
    "        \n",
    "        self.soft_replace = [[tf.assign(ta, (1 - self.tau) * ta + self.tau * pa),\n",
    "                              tf.assign(tc, (1 - self.tau) * tc + self.tau * pc)]\n",
    "                             for ta, pa, tc, pc in zip(self.at_params, self.ap_params, self.ct_params, self.cp_params)]\n",
    "        \n",
    "        q_target = self.r + self.gamma * q_next\n",
    "        with tf.variable_scope('actor_loss'):\n",
    "            a_loss = - tf.reduce_mean(q)\n",
    "        with tf.variable_scope('critic_loss'):\n",
    "            c_loss = tf.losses.mean_squared_error(labels=q_target, predictions=q)\n",
    "        with tf.variable_scope('actor_train'):\n",
    "            self.a_train = tf.train.AdamOptimizer(self.lr_a).minimize(a_loss, var_list=self.ap_params)\n",
    "        with tf.variable_scope('critic_loss'):\n",
    "            self.c_train = tf.train.AdamOptimizer(self.lr_c).minimize(c_loss, var_list=self.cp_params)\n",
    "        \n",
    "        self.sess = tf.Session()\n",
    "        self.sess.run(tf.global_variables_initializer())\n",
    "    \n",
    "    def trade(self, train=False,kp=1.0,epsilon=0.9):\n",
    "        action = self.sess.run(self.a, {self.s: self.s_buffer,self.keep_prob:kp})[:,self.pointer,:].flatten()\n",
    "        if train:\n",
    "            if np.random.rand()<epsilon:\n",
    "                return action\n",
    "            action = np.clip(np.random.normal(action, scale=(1-action)),0,1)\n",
    "            action = np.exp(action / self.softmax_tau) / np.sum(np.exp(action / self.softmax_tau))\n",
    "            return action\n",
    "        else:\n",
    "            return action\n",
    "    \n",
    "    def train(self, kp=0.85):\n",
    "        self.sess.run(self.soft_replace)\n",
    "        self.sess.run(self.a_train, {self.s: self.s_buffer,\n",
    "                                     self.keep_prob: kp})\n",
    "        self.sess.run(self.c_train, {self.s: self.s_buffer,\n",
    "                                     self.a: self.a_buffer,\n",
    "                                     self.r: self.r_buffer,\n",
    "                                     self.s_next: self.s_next_buffer,\n",
    "                                     self.keep_prob: kp})\n",
    "    \n",
    "    def save_current_state(self, s):\n",
    "        if self.pointer < self.buffer_size - 1:\n",
    "            self.s_buffer[:, self.pointer, :] = s\n",
    "        else:\n",
    "            self.s_buffer[:, :-1, :] = self.s_buffer[:, 1:, :]\n",
    "            self.s_buffer[:, -1, :] = s\n",
    "    \n",
    "    def save_transition(self, a, r, s_next):\n",
    "        if self.pointer < self.buffer_size - 1:\n",
    "            self.a_buffer[:, self.pointer, :] = a[:, None]\n",
    "            self.s_next_buffer[:, self.pointer, :] = s_next\n",
    "            self.r_buffer[:, self.pointer, :] = r[:, None]\n",
    "            self.pointer += 1\n",
    "        else:\n",
    "            self.a_buffer[:, :-1, :] = self.a_buffer[:, 1:, :]\n",
    "            self.a_buffer[:, -1, :] = a[:, None]\n",
    "            \n",
    "            self.r_buffer[:, :-1, :] = self.r_buffer[:, 1:, :]\n",
    "            self.r_buffer[:, -1, :] = r[:, None]\n",
    "            \n",
    "            self.s_next_buffer[:, :-1, :] = self.s_next_buffer[:, 1:, :]\n",
    "            self.s_next_buffer[:, -1, :] = s_next\n",
    "    \n",
    "    def restore_buffer(self):\n",
    "        self.s_buffer = np.zeros((self.asset_number, self.buffer_size, self.s_dim))\n",
    "        self.s_next_buffer = np.zeros((self.asset_number, self.buffer_size, self.s_dim))\n",
    "        self.r_buffer = np.zeros((self.asset_number, self.buffer_size, 1))\n",
    "        self.a_buffer = np.zeros((self.asset_number, self.buffer_size, self.a_dim))\n",
    "        self.pointer = 0\n",
    "    \n",
    "    def _build_a(self, s, rnn_units, dnn_units, scope, keep_prob, trainable):\n",
    "        with tf.variable_scope(scope):\n",
    "            cell = self._add_GRU(units_number=rnn_units, activation=tf.nn.tanh, keep_prob=keep_prob, trainable=trainable)\n",
    "            out, _ = tf.nn.dynamic_rnn(inputs=s, cell=cell, dtype=tf.float32)\n",
    "            out = self._add_dense_layer(inputs=out, output_shape=dnn_units + [1], activations=([tf.nn.relu] * (len(dnn_units)) + [None]), drop_keep_prob=keep_prob, trainable=trainable)\n",
    "            out = tf.nn.softmax(out,axis=0)\n",
    "            return out\n",
    "    \n",
    "    def _build_c(self, s, a, s_rnn_units, a_rnn_units, s_dnn_units, a_dnn_units, scope, keep_prob, trainable):\n",
    "        with tf.variable_scope(scope):\n",
    "            s_cell = self._add_GRU(units_number=s_rnn_units, activation=tf.nn.tanh, keep_prob=keep_prob, trainable=trainable)\n",
    "            s_out, _ = tf.nn.dynamic_rnn(inputs=s, cell=s_cell, dtype=tf.float32, scope=scope + '/s')\n",
    "            s_out = self._add_dense_layer(inputs=s_out, output_shape=s_dnn_units, activations=[tf.nn.relu] * len(s_dnn_units), drop_keep_prob=keep_prob, trainable=trainable)\n",
    "            \n",
    "            a_cell = self._add_GRU(units_number=a_rnn_units, activation=tf.nn.tanh, keep_prob=keep_prob, trainable=trainable)\n",
    "            a_out, _ = tf.nn.dynamic_rnn(inputs=a, cell=a_cell, dtype=tf.float32, scope=scope + '/a')\n",
    "            a_out = self._add_dense_layer(inputs=a_out, output_shape=a_dnn_units, activations=[tf.nn.relu] * len(a_dnn_units), drop_keep_prob=keep_prob, trainable=trainable)\n",
    "            \n",
    "            q = self._add_dense_layer(inputs=(a_out + s_out), output_shape=[1], activations=[tf.nn.tanh], drop_keep_prob=keep_prob, trainable=trainable)\n",
    "            \n",
    "            return q\n",
    "    \n",
    "    def _add_GRU(self, units_number, activation=tf.nn.relu, keep_prob=1.0, trainable=True):\n",
    "        cell = tf.contrib.rnn.GRUCell(units_number, activation=activation)\n",
    "        cell = tf.contrib.rnn.DropoutWrapper(cell, input_keep_prob=keep_prob)\n",
    "        return cell\n",
    "    \n",
    "    def _add_dense_layer(self, inputs, output_shape, activations, drop_keep_prob, use_bias=True, trainable=True):\n",
    "        output = inputs\n",
    "        for n, a in zip(output_shape, activations):\n",
    "            output = tf.layers.dense(output, n, activation=a, use_bias=use_bias, trainable=trainable)\n",
    "            output = tf.nn.dropout(output, drop_keep_prob)\n",
    "        return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=DDRPG(s_dim=asset_data.shape[2],asset_number=asset_data.shape[0],buffer_size=64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 train_reward -0.2933197349348496 -6.56196275022035e-05\n",
      "0 test_reward 0.2242748560597549 0.00018145214891565926\n",
      "1 train_reward -0.11487922106621118 -2.5700049455528216e-05\n",
      "1 test_reward 0.22584252116352416 0.00018272048637825577\n",
      "2 train_reward 0.04514010217391806 1.0098456862174044e-05\n",
      "2 test_reward 0.23045044065223386 0.00018644857657947728\n",
      "3 train_reward -0.013966291963625366 -3.1244501037193337e-06\n",
      "3 test_reward 0.26735268399454015 0.000216304760513382\n",
      "4 train_reward -0.36946118317340726 -8.265350853991215e-05\n",
      "4 test_reward 0.26793902707663625 0.00021677914812025579\n",
      "5 train_reward -0.44418066610408125 -9.936927653335149e-05\n",
      "5 test_reward 0.27281058001311315 0.00022072053399119186\n",
      "6 train_reward -0.45816977893094174 -0.00010249883197560216\n",
      "6 test_reward 0.27423174325128824 0.00022187034243631735\n",
      "7 train_reward -0.3729591895814278 -8.343606030904428e-05\n",
      "7 test_reward 0.27572785271746664 0.00022308078698824165\n",
      "8 train_reward -0.5336987300525347 -0.00011939568904978403\n",
      "8 test_reward 0.2932915668814063 0.0002372909117163481\n",
      "9 train_reward 0.0271045685892847 6.063661876797478e-06\n",
      "9 test_reward 0.29513575642595824 0.00023878297445465872\n"
     ]
    }
   ],
   "source": [
    "normalize_length=10\n",
    "train_length=1500\n",
    "batch_size=60\n",
    "c=1e-5\n",
    "epoch=10\n",
    "epsilon=0.5\n",
    "train_r=[]\n",
    "train_mean_r=[]\n",
    "test_r=[]\n",
    "test_mean_r=[]\n",
    "model.restore_buffer()\n",
    "for e in range(epoch):\n",
    "    train_reward=[]\n",
    "    test_reward=[]\n",
    "    test_actions=[]\n",
    "    previous_action=np.zeros(asset_data.shape[0])\n",
    "    for t in range(normalize_length,train_length):\n",
    "        data=asset_data[:,t-normalize_length:t,:].values\n",
    "        state=((data-np.mean(data,axis=1,keepdims=True))/(np.std(data,axis=1,keepdims=True)+1e-5))[:,-1,:]\n",
    "        data=asset_data[:,t-normalize_length+1:t+1,:].values\n",
    "        next_state=((data-np.mean(data,axis=1,keepdims=True))/(np.std(data,axis=1,keepdims=True)+1e-5))[:,-1,:]\n",
    "        model.save_current_state(s=state)\n",
    "        action=model.trade(train=True,epsilon=epsilon)\n",
    "        r=asset_data[:,:,'diff'].iloc[t].values*action-c*np.abs(previous_action-action)\n",
    "        model.save_transition(a=action,r=r,s_next=next_state)\n",
    "        previous_action=action\n",
    "        train_reward.append(r)\n",
    "        if t%32==0:\n",
    "            model.train()\n",
    "#         if t%batch_size==0:\n",
    "#             model.train(drop=0.8)\n",
    "#             model.restore_buffer()\n",
    "    model.restore_buffer()\n",
    "    print(e,'train_reward',np.sum(np.sum(train_reward,axis=1)),np.mean(train_reward))\n",
    "    train_r.append(np.sum(np.sum(train_reward,axis=1)))\n",
    "    train_mean_r.append(np.mean(train_reward))\n",
    "    previous_action=np.zeros(asset_data.shape[0])\n",
    "    for t in range(train_length,asset_data.shape[1]):\n",
    "        data=asset_data[:,t-normalize_length:t,:].values\n",
    "        state=((data-np.mean(data,axis=1,keepdims=True))/(np.std(data,axis=1,keepdims=True)+1e-5))[:,-1,:]\n",
    "        model.save_current_state(s=state)\n",
    "        action=model.trade(train=False)\n",
    "        r=asset_data[:,:,'diff'].iloc[t].values*action-c*np.abs(previous_action-action)\n",
    "        test_reward.append(r)\n",
    "        test_actions.append(action)\n",
    "        previous_action=action\n",
    "#         if t % batch_size==0:\n",
    "#             model.restore_buffer()\n",
    "    print(e,'test_reward',np.sum(np.sum(test_reward,axis=1)),np.mean(test_reward))\n",
    "    test_r.append(np.sum(np.sum(test_reward,axis=1)))\n",
    "    test_mean_r.append(np.mean(test_reward))\n",
    "    model.restore_buffer()\n",
    "    epsilon=epsilon**((epoch-e)/epoch)\n",
    "    if np.sum(np.sum(test_reward,axis=1))>0.3: break\n",
    "model.restore_buffer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f4d961125c0>]"
      ]
     },
     "execution_count": 540,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KN1Vy60tLOTEzhT/PnBCQS7cFkyvzs9m9t5H3V2vwK+5TUOohLTGWYWm9HFm/u9ImiJTs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\nRMSF/j+7qktq/HQyLgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4d961120b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(train_r)\n",
    "plt.plot(test_r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f4da1ea30b8>]"
      ]
     },
     "execution_count": 541,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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33D0DeCd4fwgzawf8FjgRGAb8tkwQPQb8EMgIXmOqaffcMnUnBNvvt9fdBwWv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\nERGJif8PI0Mh3xEEG7EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4da1ea32e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(train_mean_r)\n",
    "plt.plot(test_mean_r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4db7d45668>"
      ]
     },
     "execution_count": 542,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3qpvaUMgluJkkI+WN50oCk8stYEn5T4NRyEm3o1fXTJ/nC+Rs+KqGtlhNiWF0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4d97d834a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "asset_data[:,:,'diff'].mean(axis=1).cumsum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4db79bcbe0>"
      ]
     },
     "execution_count": 543,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Kd8AP98K23yLruo2CNJPU1IBTo4+Rat30Jd3jxIubo7xPhpf95hxe41PU3/z+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\nJIX+H6gtqTQLUxqkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4db620bb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(np.sum(train_reward,axis=1),index=asset_data[:,normalize_length:train_length,'diff'].index,columns=['return']).cumsum().plot()\n",
    "asset_data[:,normalize_length:train_length,'diff'].mean(axis=1).cumsum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4dec0cfe48>"
      ]
     },
     "execution_count": 544,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EhJDvSAMd4ofxB0iI0KPxyLkP1gQxMyuO9zYUMPGR79l5pJYRieH8tLes1d+M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\nWp0QoeeNq2fw9R1ziQzR8sz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a93Gh2a2i99PeUlfFr1Pz3VfmRpQj9u/MmY8J03HIIXUc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\n5ls3ycttoDAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4da33aa8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(np.sum(test_reward,axis=1),index=asset_data[:,train_length:,'diff'].index,columns=['return']).cumsum().plot()\n",
    "asset_data[:,train_length:,'diff'].mean(axis=1).cumsum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2951357564259582"
      ]
     },
     "execution_count": 545,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(test_reward)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 546,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4e12464400>"
      ]
     },
     "execution_count": 546,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VQM83bd9ain/T/+pQ+XddmzDHAStsP277OeBW4GhJR+nFBZInAquBsTXtxpSy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\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l84G/KN+Ppcoi9Unbvw+cAFwhad/Sx/m2/5vt91KllT+nybWML9fY3/6fJQ2TNAz4J+BD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\nERERERERETGIZLAnIiIiIiIiImIQ+f8BQg2Jf1GgYIsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4da2ff3a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_action_df=pd.DataFrame(test_actions,index=asset_data[:,train_length:,'diff'].index,columns=list(asset_data.items))\n",
    "plt.figure(figsize=(18,30))\n",
    "sns.heatmap(test_action_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 547,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bat    130.560660\n",
       "let    141.002925\n",
       "mds    126.833676\n",
       "dtype: float64"
      ]
     },
     "execution_count": 547,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.abs(test_action_df.shift(1)-test_action_df).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    ""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3.0
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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